Calm interfaces. Sharp systems. Quiet AI.

Independent Data & AI Analyst. I turn raw data into clear insights, dashboards and AI-assisted workflows that hold up under real decisions.

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01

Turning data into insights using AI and automation.

About
Approach

I turn data into structured insights and reports leaders can act on.

From raw CSV to executive report:
cleaning, analysis, visualisation, and the framing that turns numbers into decisions.

I use AI and automation to speed up analysis, structure insights, and build clear reports.

Role
Independent · Data & AI Analyst
Focus
AI · Data Analysis · Automation · Product Design
Languages
Estonian · English · Russian
Tools
Python · ChatGPT · APIs · Excel · Power BI
Availability
Q2 · 2026
02

Selected work.

W / 01

Delivery Performance: Q3 diagnostic for a regional logistics network

Turning 20,451 raw delivery records into a six-page executive report with monthly trends, courier ranking, city concentration and a prioritised action list.

What was analysed
20,451 deliveries across 1,334 cities, 30 active clients and 14 couriers, covering 2025-07-31 to 2025-09-29.
Tools
Python (pandas) for analysis. ChatGPT for structuring insights. Custom Python scripts for the PDF layout. Excel for QA checks.
Outcome
95.8% on-time rate confirmed at +0.8 pts above the 95% benchmark. Weakest courier surfaced at 86.1%. Mon to Thu peak sized at 80% of volume, feeding six concrete ops recommendations.
View full report
Logistics / Ops Q3 2025
W / 02

Olist E-commerce: 25-month marketplace performance report

A full breakdown of revenue, fulfilment, customer geography and review quality across 99,441 Brazilian orders placed through 3,095 active sellers.

What was analysed
99.4K orders, 96.1K unique customers, 32.9K products and 99K+ customer reviews spanning Sep 2016 to Oct 2018.
Tools
Python (pandas) for aggregation. Matplotlib for charts. ChatGPT for structuring insights. Python for the PDF report.
Outcome
R$ 15.42M revenue mapped against a 97% delivery rate and 92% ETA-beat. São Paulo concentration (46.4%) and the 14% low-rating tail translated into five clear growth levers.
View full report
E-commerce 2016 / 2018
03

What I actually do.

Expertise

Data analysis

  • Dataset exploration
  • Trend analysis
  • KPI breakdowns
  • Reporting

AI workflows

  • AI-assisted analysis
  • Prompt engineering
  • Insight generation
  • Report structuring

Automation

  • Data pipelines
  • Report automation
  • Process optimisation
  • Workflow setup

Tools & execution

  • Python
  • Excel
  • Power BI
  • APIs
04

How I work.

Process
Step 01

Collect & prepare

Gather raw data from multiple sources. Clean, validate and structure datasets for analysis.

Step 02

Analyse

Explore data, identify patterns, trends and anomalies. Break down key metrics and performance indicators.

Step 03

Generate insights (AI-assisted)

Use AI tools to accelerate analysis, structure findings and highlight key insights.

Step 04

Report & automate

Build clear reports and dashboards. Automate workflows for repeatable analysis and decision support.

Let's build something that actually works.

Available for new projects and collaborations.